This repo follows the book Hands-On Machine Learning with Scikit-Learn, Keras & TensorFlow by Aurelien Geron
Current Page No. -> 384
- Day 1 - MNIST classification
- Day 2 - Model Training
- Day 3 - Regularization and Logistic regression
- Day 4 - SVM
- Day 5 - Regression using SVM
- Day 6 - Decision Tree
- Day 7 - Ensembel Learning
- Day 8 - Bagging
- Day 9 - Out of Bag Evaluation
- Day 10 - Random Forest
- Day 11 - Boosting
- Day 12 - Gradient Boosting
- Day 13 - Dimensionality Reduction Intro
- Day 14 - PCA
- Day 15 - PCA(contd...)
- Day 16 - Compressing data using PCA
- Day 17 - Unsupervised Learning
- Day 18 - KMeans
- Day 19 - DBSCAN & KNN
- Day 20 - Perceptron
- Day 21 - Image classifier using Sequential API in TF
- Day 22 - Functional API in TF
- Day 23 - Callback in keras
- Day 24 - Hyperparameter tuning
- Day 25 - Vanishing gradient
- Day 26 - Batch Normalization
- Day 27 - Tensorboard
- Day 28 - Momentum Method
- Day 29 - Different optimizations
- Day 30 - Learning rate scheduling
- Day 31 - Tensorflow datatypes basics